177 lines
6.6 KiB
Python
177 lines
6.6 KiB
Python
"""
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Tareas Celery para importación CSV de BOMs.
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Flujo: scan_file (validación) → insert_valid_rows (commit).
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Sin tabla BOM dedicada aún: insert_valid_rows solo valida y cuenta filas válidas.
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Usa layouts_csv.common y common.fk_loader, validators.
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"""
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import json
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import logging
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import os
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from typing import Dict, Any, List
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from core.celery_app import celery_app
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from ..common import storage as common_storage
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from ..common import normalize as common_normalize
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from ..common import csv_reader as common_csv
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from ..common import meta as common_meta
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from ..common import responses as common_responses
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from .template_config import row_from_template
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from .validators import validate_row_bom
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from .common.fk_loader import load_boms_fk_sets
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logger = logging.getLogger(__name__)
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JOB_TYPE = "bom"
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# Para routes.py
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BOM_IMPORT_FILE_PREFIX = "bom_import_file:"
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BOM_IMPORT_META_PREFIX = "bom_import_meta:"
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BOM_IMPORT_ERROR_LINES_PREFIX = "bom_import_error_lines:"
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BOM_IMPORT_REDIS_TTL = common_storage.IMPORT_REDIS_TTL
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@celery_app.task(bind=True)
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def scan_file(self, job_id: str, config: str = None):
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logger.info("BOMs import: starting scan for job %s", job_id)
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file_path = common_storage.ensure_file_from_redis(JOB_TYPE, job_id, "BOMs import")
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if not file_path:
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return {"status": "failed", "error": "Archivo no encontrado (expirado o no subido). Sube de nuevo."}
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common_storage.ensure_meta_from_redis(JOB_TYPE, job_id, file_path, "BOMs import")
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error_path = common_storage.error_path_for_job(JOB_TYPE, job_id)
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try:
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total_rows = common_csv.count_csv_rows(file_path)
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except Exception as e:
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return {"status": "failed", "error": str(e)}
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try:
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tenant_id, company_id = common_meta.require_tenant_context(file_path)
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except ValueError as e:
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return {"status": "failed", "error": str(e)}
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valid_part_numbers = load_boms_fk_sets(tenant_id, company_id)
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error_count = 0
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processed_rows = 0
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errors_detail: List[Dict[str, Any]] = []
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error_lines_list: List[int] = []
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try:
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with open(error_path, "w", encoding="utf-8") as f_err:
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for i, row in common_csv.iter_csv_rows(file_path):
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if i % 500 == 0:
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self.update_state(
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state="PROGRESS",
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meta={"current": i, "total": total_rows, "errors": error_count},
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)
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row_norm = row_from_template(row, common_normalize.normalize_header)
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row_errors = validate_row_bom(row_norm, i, valid_part_numbers=valid_part_numbers)
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if row_errors:
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error_count += 1
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error_lines_list.append(i)
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for e in row_errors:
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f_err.write(json.dumps(e) + "\n")
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if len(errors_detail) < 500:
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for e in row_errors:
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if len(errors_detail) >= 500:
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break
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errors_detail.append({
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"line": e.get("line", i),
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"col": e.get("col", ""),
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"msg": e.get("msg", ""),
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"solution": e.get("solution", ""),
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"warning": bool(e.get("warning", False)),
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})
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processed_rows += 1
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if error_lines_list:
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common_storage.store_error_lines(JOB_TYPE, job_id, error_lines_list)
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except Exception as e:
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logger.error("BOMs import scan failed: %s", e)
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return {"status": "failed", "error": str(e)}
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return common_responses.scan_result(
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job_id, processed_rows, error_count, errors_detail
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)
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@celery_app.task(bind=True)
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def insert_valid_rows(self, job_id: str):
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logger.info("BOMs import: starting commit for job %s", job_id)
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file_path = common_storage.ensure_file_from_redis(JOB_TYPE, job_id, "BOMs import")
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if not file_path:
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alt_path = common_storage.file_path_for_job(JOB_TYPE, job_id)
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if not os.path.exists(alt_path):
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return {"status": "failed", "error": "Archivo no encontrado (expirado). Sube y confirma de nuevo."}
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file_path = alt_path
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else:
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common_storage.ensure_meta_from_redis(JOB_TYPE, job_id, file_path, "BOMs import")
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error_path = common_storage.error_path_for_job(JOB_TYPE, job_id)
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error_lines = common_storage.get_error_lines(JOB_TYPE, job_id, error_path)
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try:
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tenant_id, company_id = common_meta.require_tenant_context(file_path)
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except ValueError as e:
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return {"status": "failed", "error": str(e)}
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valid_part_numbers = load_boms_fk_sets(tenant_id, company_id)
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inserted_count = 0
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skipped_invalid = 0
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valid_count = 0
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skipped_details: List[Dict[str, Any]] = []
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response = None
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meta_path = common_meta.get_meta_path(file_path)
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try:
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for i, row in common_csv.iter_csv_rows(file_path):
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if i in error_lines:
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continue
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row_norm = row_from_template(row, common_normalize.normalize_header)
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row_errors = validate_row_bom(row_norm, i, valid_part_numbers=valid_part_numbers)
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if row_errors:
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skipped_invalid += 1
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for err in row_errors:
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skipped_details.append({
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"line": i,
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"reason": f"{err.get('col', '')}: {err.get('msg', '')}",
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"solution": err.get("solution", ""),
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})
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continue
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valid_count += 1
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# Sin tabla BOM dedicada: no se escribe en DB; solo se cuentan filas válidas.
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response = common_responses.commit_result(
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"finished", inserted_count, skipped_invalid, 0, 0, skipped_details,
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)
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if valid_count > 0 and inserted_count == 0:
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response["message"] = (
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f"WIP: {valid_count} filas válidas. "
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"La tabla BOM aún no existe en el sistema; no se insertó nada."
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)
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except Exception as e:
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logger.exception("BOMs import task failed")
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response = common_responses.commit_result(
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"failed", 0, skipped_invalid, 0, 0, skipped_details, error=str(e),
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)
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common_storage.cleanup_import_job(
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JOB_TYPE, job_id,
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file_path=file_path,
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error_path=error_path,
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meta_path=meta_path,
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)
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if response is None:
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response = common_responses.commit_result(
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"failed", 0, skipped_invalid, 0, 0, skipped_details, error="Error inesperado",
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)
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return response
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